| # | School | Team | Rec. | |
|---|---|---|---|---|
| 1 | Tufts University | Jumbos | 12–3 | |
| 2 | Brown University | Bears | 11–4 | |
| 3 | Boston College | Eagles | 11–4 | |
| 4 | Roger Williams University | Hawks 1 | 7–8 | |
| 5 | Boston University | Terriers | 4–11 | |
| 6 | Roger Williams University | Hawks 2 | 0–15 |
Each side is the sum of its three boats (the skipper's fleet rating times 0.72 plus a team race offset learned from their past matches, plus the crew's offset and a small experience term) plus the school's team race strength and a home-water edge for the host. The win probability is a logistic function of the difference. The forecast was made before the event: the model was refitted on every match sailed before the first day, with fleet ratings as of the week before.
Fitted on the 18,842 team race matches sailed before 2022-10-22, using the line-ups that actually raced. It called 30 of 45 matches (67%) with a log-loss of 0.569 (a coin flip scores 0.693), so the event went about as expected for the forecast. Orderliness −0.16 ± 0.30: a typical event, more orderly than 27% of college team race events (temperature of the forecast log-odds that best fits the results, relative to the league average; nothing about the field, venue or wind predicts it, see the Weather tab). vs forecast is a team's wins minus the wins the model expected from the matches it sailed: positive means it beat its rating.
For each side, the performance strength is the value that would have made its record least surprising: the strength at which the model's expected wins over exactly these opponents equal the actual wins, with every opponent fixed at its pre-event strength. For a skipper, the same shift is applied only to their boat in the matches they sailed, with team-mates and opponents fixed; team-mates who sailed every match together therefore get the same number. Surprise is in bits: -log2 of the probability of the record at the pre-event strength minus the same at the performance strength. P(this good or better) treats matches as independent coin flips at the model's pre-event probabilities, so it ignores form within the day; read it as a rough guide.
Pre-event strength against the strength that would have made each record least surprising, everything else fixed. Δ is in the model's logit units, the same scale as the boat values above (a side is three boats plus the school term); green is a clear over-performance, red a clear under-performance. Skippers need three or more matches.
| Place | School | Strength | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| 1 | Tufts University Jumbos | 7.41 | 9.30 | 12–3 | 6.7 | +1.90 | 6.9 | <1% |
| 5 | Boston University Terriers | 6.04 | 6.78 | 4–11 | 2.3 | +0.74 | 0.9 | 19% |
| 2 | Brown University Bears | 8.16 | 8.71 | 11–4 | 9.5 | +0.55 | 0.6 | 28% |
| 3 | Boston College Eagles | 8.70 | 8.55 | 11–4 | 11.4 | −0.15 | 0.0 | 72% |
| 4 | Roger Williams University Hawks 1 | 8.41 | 7.27 | 7–8 | 10.4 | −1.14 | 2.9 | 99% |
| 6 | Roger Williams University Hawks 2 | 6.81 | 3.81 | 0–15 | 4.6 | ≤−3.00 | 8.6 | >99% |
| Skipper | School | Value | Perf. | Record | Exp. wins | Δ | Surprise (bits) | P(this good or better) |
|---|---|---|---|---|---|---|---|---|
| Patrick Mulcahy | Tufts University | 2.46 | 4.36 | 12–3 | 6.7 | +1.90 | 6.9 | <1% |
| Connor Rosow | Tufts University | 2.19 | 4.09 | 12–3 | 6.7 | +1.90 | 6.9 | <1% |
| Elliott Mendenhall | Boston University | 2.22 | 2.96 | 4–11 | 2.3 | +0.74 | 0.9 | 19% |
| Thomas Styron | Brown University | 2.63 | 3.18 | 11–4 | 9.5 | +0.55 | 0.6 | 28% |
| George Higham | Roger Williams University | 2.61 | 1.47 | 7–8 | 10.4 | −1.14 | 2.9 | 99% |
Probability the model gave the side that went on to win. Red bars are upsets (the winner was given under 50%).
| Team | Rec. | Jumbos | Bears | Eagles | 1 | Terriers | 2 | |
|---|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–1 | ✕ | W | L | W | W | W | |
| Brown University Bears | 4–1 | L | ✕ | W | W | W | W | |
| Boston College Eagles | 4–1 | W | L | ✕ | W | W | W | |
| Roger Williams University Hawks 1 | 1–9 | L | L | L | ✕ | L | ✕ | |
| Boston University Terriers | 2–3 | L | L | L | W | ✕ | W | |
| Roger Williams University Hawks 2 | 1–9 | L | L | L | ✕ | L | ✕ |
| Team | Rec. | Jumbos | Bears | Eagles | 1 | Terriers | 2 | |
|---|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–1 | ✕ | L | W | W | W | W | |
| Brown University Bears | 4–1 | W | ✕ | W | W | W | W | |
| Boston College Eagles | 2–3 | L | L | ✕ | W | W | W | |
| Roger Williams University Hawks 1 | 4–6 | L | L | L | ✕ | L | ✕ | |
| Boston University Terriers | 1–4 | L | L | L | W | ✕ | W | |
| Roger Williams University Hawks 2 | 4–6 | L | L | L | ✕ | L | ✕ |
| Team | Rec. | Jumbos | Bears | Eagles | 1 | Terriers | 2 | |
|---|---|---|---|---|---|---|---|---|
| Tufts University Jumbos | 4–1 | ✕ | W | L | W | W | W | |
| Brown University Bears | 3–2 | L | ✕ | L | W | W | W | |
| Boston College Eagles | 5–0 | W | W | ✕ | W | W | W | |
| Roger Williams University Hawks 1 | 2–8 | L | L | L | ✕ | L | ✕ | |
| Boston University Terriers | 1–4 | L | L | L | W | ✕ | W | |
| Roger Williams University Hawks 2 | 2–8 | L | L | L | ✕ | L | ✕ |
| # | Winner | Loser | Pos. | ||||
|---|---|---|---|---|---|---|---|
| 1 | Eagles | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 2 | Bears | 1-3-4 | def. | Hawks 1 | 2-5-6 | ||
| 3 | Jumbos | 1-2-5 | def. | Hawks 2 | 3-4-6 | ||
| 4 | Bears | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 5 | Eagles | 2-3-4 | def. | Jumbos | 1-5-6 | ||
| 6 | Hawks 1 | 1-2-5 | def. | Hawks 2 | 3-4-6 | ||
| 7 | Jumbos | 1-4-5 | def. | Terriers | 2-3-6 | ||
| 8 | Bears | 1-2-4 | def. | Hawks 2 | 3-5-6 | ||
| 9 | Eagles | 1-2-5 | def. | Hawks 1 | 3-4-6 | ||
| 10 | Jumbos | 1-2-6 | def. | Bears | 3-4-5 | ||
| 11 | Eagles | 1-2-4 | def. | Hawks 2 | 3-5-6 | ||
| 12 | Terriers | 1-2-6 | def. | Hawks 1 | 3-4-5 | ||
| 13 | Bears | 1-4-5 | def. | Eagles | 2-3-6 | ||
| 14 | Jumbos | 1-2-6 | def. | Hawks 1 | 3-4-5 | ||
| 15 | Terriers | 1-2-6 | def. | Hawks 2 | 3-4-5 | ||
| 16 | Eagles | 1-4-5 | def. | Terriers | 2-3-6 | ||
| 17 | Hawks 1 | 1-2-5 | def. | Bears | 3-4-6 | ||
| 18 | Jumbos | 1-2-3 | def. | Hawks 2 | 4-5-6 | ||
| 19 | Bears | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 20 | Jumbos | 1-2-5 | def. | Eagles | 3-4-6 | ||
| 21 | Hawks 1 | 1-2-5 | def. | Hawks 2 | 3-4-6 | ||
| 22 | Jumbos | 1-3-5 | def. | Terriers | 2-4-6 | ||
| 23 | Bears | 1-2-6 | def. | Hawks 2 | 3-4-5 | ||
| 24 | Hawks 1 | 2-3-4 | def. | Eagles | 1-5-6 | ||
| 25 | Bears | 1-4-5 | def. | Jumbos | 2-3-6 | ||
| 26 | Eagles | 1-2-4 | def. | Hawks 2 | 3-5-6 | ||
| 27 | Hawks 1 | 1-2-4 | def. | Terriers | 3-5-6 | ||
| 28 | Bears | 1-4-5 | def. | Eagles | 2-3-6 | ||
| 29 | Jumbos | 1-2-6 | def. | Hawks 1 | 3-4-5 | ||
| 30 | Terriers | 1-3-5 | def. | Hawks 2 | 2-4-6 | ||
| 31 | Eagles | 1-2-4 | def. | Terriers | 3-5-6 | ||
| 32 | Bears | 1-2-5 | def. | Hawks 1 | 3-4-6 | ||
| 33 | Jumbos | 1-2-3 | def. | Hawks 2 | 4-5-6 | ||
| 34 | Bears | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 35 | Eagles | 2-3-5 | def. | Jumbos | 1-4-6 | ||
| 36 | Hawks 1 | 1-2-3 | def. | Hawks 2 | 4-5-6 | ||
| 37 | Jumbos | 1-2-5 | def. | Terriers | 3-4-6 | ||
| 38 | Bears | 1-2-3 | def. | Hawks 2 | 4-5-6 | ||
| 39 | Eagles | 1-3-5 | def. | Hawks 1 | 2-4-6 | ||
| 40 | Jumbos | 1-2-4 | def. | Bears | 3-5-6 | ||
| 41 | Eagles | 1-2-3 | def. | Hawks 2 | 4-5-6 | ||
| 42 | Hawks 1 | 1-2-3 | def. | Terriers | 4-5-6 | ||
| 43 | Eagles | 2-3-4 | def. | Bears | 1-5-6 | ||
| 44 | Jumbos | 2-3-4 | def. | Hawks 1 | 1-5-6 | ||
| 45 | Terriers | 1-2-6 | def. | Hawks 2 | 3-4-5 | ||
| School | Team | Skippers | Crew | |
|---|---|---|---|---|
| Tufts University | Jumbos | Chloe Holder '23 Connor Rosow '24 Patrick Mulcahy '23 |
Nicolas Echarte '25 Magdelaina Putnam '25 Cecilia Adams '23 |
|
| Brown University | Bears | Connor Macken '24 Hunter Zonnenberg '23 Thomas Styron '24 |
Talia Levine '26 Hannah Sellers '26 Emily Rosenthal '26 |
|
| Boston College | Eagles | Caroline Sibilly '26 Graham Ness '23 Libby Redmond '24 |
Elliot Dyroff '26 Matt Budington '25 Lourdes Gallo '24 |
|
| Roger Williams University | Hawks 1 | George Higham '23 Jack Roman '26 Oliver Stokke '26 |
Grace Woodcock '23 Dominique Spinola '26 Claire Buckley '25 |
|
| Boston University | Terriers | Elliott Mendenhall '25 Nathan Selian '25 Porter Bell '26 |
Carolyn Kravets '25 Lachlan Hooper '25 Jack Culton '26 |
|
| Roger Williams University | Hawks 2 | Chase Reynolds '23 Emmett Nevel '25 Luke Hosek '24 |
Benjamin Lindo '26 Katharine Benagh '24 Ethan Snyder '25 |
Orderliness is how tightly a fleet race’s finishing order follows the pre-regatta ratings, relative to a typical event (0): positive is the favourites’ day, negative the underdogs’. A value of ±0.09 means a rating gap counts about 8% less than on a typical day. This event is not a fleet race the rating model scores, so there is no actual value for it: this is what this venue’s fleet racing history says about the breeze on the day, read off the chart at the star. How this is estimated · compare venues.
Short write-ups of what the ratings and results show, with the numbers and how they were computed.